Morphological infrared image enhancement based on multi-scale sequential toggle operator using opening and closing as primitives

Infrared image enhancement is a crucial technique for improving the quality of infrared images. And, the clear image details are important information for infrared image analysis. To effectively enhance infrared image and make image details clear, a multi-scale sequential toggle operator based algorithm is proposed in this paper. Firstly, the sequential toggle operator, which uses opening and closing as primitives, is constructed and discussed. Secondly, the feature extraction in infrared image through the sequential toggle operator is given, and the multi-scale extension of the feature extraction is discussed in details. Finally, the extracted final features of infrared image are constructed and imported into the original infrared image to produce the enhanced image. In the enhanced image, the image features are enhanced well and the image details are clear. Infrared images which obtained from different environments are used in the experiment. The results show that, the proposed algorithm is very effective for infrared image enhancement.